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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Оценка социальной эффективности цифровых технологий рекрутмента: опыт эмпирического исследования

Социально-трудовые исследования. 2021. № 42(1). С. 97–111.
В.Н. Минина, Чижова О. Б.

The article proposes the author’s approach to assessing the social effectiveness of digital technologies used in human resource management of an organization. Its relevance is due to a number of circumstances: high rates of digitalization of key functions of human resource management; the introduction of digital technolo­gies, viewed through the prism of economic results obtained by business, while social results remain “in the shadow”; the absence in the literature of an unambiguous answer to questions about the social consequences of digitalization and how to measure them. The study is based on empirical data collected by the authors as part of a case study that used Skillaz digital technology, which is being used by a number of Russian companies to improve recruitment efficiency. The design of the study is based on the Harvard model of human resource management, which allows interpreting the results of personnel-related decisions as a balance of interests of key stakeholders. The case study considered only those stakeholders who were directly involved in the implementation of Skillaz and are its users. Methods for collecting primary information were in-depth semi-structured interviews with experts, a survey of specialists on the recruitment specialists of a large industrial enterprise, and analysis of hiring documents. The approbation of the methodology developed by the authors showed that it allows us to characterize the functional satisfaction of Skillaz users in sufficient detail, but not enough to assess their emotional satisfaction. Further research in this area is related to the improvement of tools to better reflect the emotional aspects of working with digital technologies in human resource manage­ment.

Research target: Economics and Management
Language: Russian
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Text on another site
Keywords: методика оценкиsatisfactionудовлетворенностьrecruitmentстейкхолдерыstakeholdersсоциальная эффективностьdigital technologyevaluation methodsрекрутментsocial effectivenessSkillazцифровая технологияSkillaz
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